Wear Characterisation of Connecting Rod Bore Bearing Shell Using I-kaz and Taylor Tool Life Curve Methods

This paper presents a simple method for detecting of wear bearing progression that ranged of low frequency signal f < 20 kHz. This new statistical approached can be computed in real time. The implementation of this technique gives pattern recognition in order to identify bearing wear. The wear test was conducted under pin-on-disc configuration in lubricated sliding condition. It was found that the higher value of I-kaz coefficient, Zeta(infinity) was represented by scattered data in three dimensional in I-kaz three dimensional big spaces and vice versa. It was found that the results for this method may capture realistic behaviour of bearing contacts in which correlates wear progression and the produced signal. From the statistical analyses of the wear bearing, it was possible to correlate the relationship between Taylor Tool Life curve, which was utilized in identifying typical wear growth. The Zeta(infinity) and Taylor curve were observed to the trend of wear rate. The lower value of Zeta(infinity) indicating wear became severe as showed in failure region in Taylor curve.